The Bullwhip Effect and Ripple Effect with Respect to Supply Chain Resilience: Challenges and Opportunities
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| Publicado no: | Logistics vol. 9, no. 2 (2025), p. 62-95 |
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| Autor principal: | |
| Outros Autores: | , , |
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MDPI AG
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| Acesso em linha: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/logistics9020062 |2 doi | |
| 035 | |a 3223923584 | ||
| 045 | 2 | |b d20250401 |b d20250630 | |
| 100 | 1 | |a Moreno-Baca, Fabricio |u Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico; patricia.cano@upaep.mx (P.C.-O.); diana.sanchez@upaep.mx (D.S.-P.); joseluis.martinez01@upaep.mx (J.-L.M.-F.) | |
| 245 | 1 | |a The Bullwhip Effect and Ripple Effect with Respect to Supply Chain Resilience: Challenges and Opportunities | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Review | ||
| 520 | 3 | |a Background: The Bullwhip and Ripple effects are systemic phenomena that disrupt supply chain performance. However, research often neglects their connection to resilience. This article presents a hybrid literature review examining how both effects are addressed about supply chain resilience, focusing on methodological and conceptual trends. Methods: The review combines thematic analysis of studies from Web of Science and ScienceDirect (2000–2023) with bibliometric trend modeling using Long Short-Term Memory neural networks to detect nonlinear patterns and disciplinary dynamics. Results: While 64.7% of the reviewed works explicitly link the Bullwhip Effect or Ripple Effect to resilience, only 11.7% of those focused on the Bullwhip Effect offer models with clear practical use. A structural break in 2019 marks a notable rise in research connecting these effects to resilience. Nonlinear modeling dominates (88.23%) through network theory and system dynamics. Social, Engineering and Business Sciences drive Bullwhip-related studies, while Economics, Computer Science, and Social Sciences lead Ripple-related research. Business, Energy, and Social Sciences strongly influence the integration of the Ripple Effect into supply chains. A modeling typology is proposed, and neural network techniques uncover key bibliometric patterns. Conclusions: The review highlights limited practical application and calls for more adaptive, integrative research approaches. | |
| 653 | |a Supply chains | ||
| 653 | |a Hurricanes | ||
| 653 | |a Literature reviews | ||
| 653 | |a Bibliometrics | ||
| 653 | |a Feedback | ||
| 653 | |a Suppliers | ||
| 653 | |a Decision making | ||
| 653 | |a System theory | ||
| 653 | |a Flexibility | ||
| 700 | 1 | |a Cano-Olivos, Patricia |u Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico; patricia.cano@upaep.mx (P.C.-O.); diana.sanchez@upaep.mx (D.S.-P.); joseluis.martinez01@upaep.mx (J.-L.M.-F.) | |
| 700 | 1 | |a Sánchez-Partida, Diana |u Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico; patricia.cano@upaep.mx (P.C.-O.); diana.sanchez@upaep.mx (D.S.-P.); joseluis.martinez01@upaep.mx (J.-L.M.-F.) | |
| 700 | 1 | |a Martínez-Flores, José-Luis |u Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico; patricia.cano@upaep.mx (P.C.-O.); diana.sanchez@upaep.mx (D.S.-P.); joseluis.martinez01@upaep.mx (J.-L.M.-F.) | |
| 773 | 0 | |t Logistics |g vol. 9, no. 2 (2025), p. 62-95 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3223923584/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3223923584/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3223923584/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |